995 Data Bricks Jobs - Page 20

Design and implement scalable data ingestion and transformation pipelines using Databricks and AWS. Develop and optimize ETL/ELT workflows in PySpark and Spark SQL, ensuring performance and reliability, and use CI/CD tools. Required Candidate profile Experience Required 6 to 9 years. Minimum 4+ years of experience with Databricks and AWS.Design and develop scalable ETL/ELT pipelines, PySpark SQL and Python. Immediate joiner to 30 days NP required.

Skills: Microsoft Azure, Hadoop, Spark, Databricks, Airflow, Kafka, Py spark RequirmentsExperience working with distributed technology tools for developing Batch and Streaming pipelines using. SQL, Spark, Python Airflow Scala Kafka Experience in Cloud Computing, e.g., AWS, GCP, Azure, etc. Able to quickly pick up new programming languages, technologies, and frameworks. Strong skills building positive relationships across Product and Engineering. Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs, build Docker images, etc. Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture Experience working with Data platforms, including EMR, Airflow, Data bricks (Data Engineering & Delta Lake components) Experience working in Agile and Scrum development process. Experience in EMR/ EC2, Data bricks etc. Experience working with Data warehousing tools, including SQL database, Presto, and Snowflake Experience architecting data product in Streaming, Server less and Microservices Architecture and platform.

About Us At SentinelOne, were redefining cybersecurity by pushing the limits of whats possible?leveraging AI-powered, data-driven innovation to stay ahead of tomorrows threats From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do Were looking for passionate individuals who thrive in collaborative environments and are eager to drive impact If youre excited about solving complex challenges in bold, innovative ways, wed love to connect with you Who are we The Data team is tasked with providing a world-class data platform that enables unrivalled cost, performance, and scalability for SentinelOne and our customers The exponential growth in volumes of data, users of data, and types of data calls for a new modern architecture that addresses the new data requirements for enterprise organizations Help us get this platform into the hands of customers and support them in their mission to affordably collect and retain their most critical asset data SentinelOne is shaping the converged future of security and data through its unified data platform This is a unique opportunity to operate in an emerging ?startuplike environment within SentinelOne to build and scale our data business beyond just security use cases What are we looking for We are looking for a team member who puts the customer first and is passionate about solving problems with creativity, compassion, and technical acumen You will need to bring a combination of technical, business, strategic and problem-solving skills to the team to support pre-sales efforts and as a data subject matter expert to the larger SentinelOne team Looking for an individual who is smart, passionate about data, and who brings a sense of joy and teamwork to everything they do As a Sr Solutions Engineer, you will illustrate SentinelOne's value to prospective customers We need a self-starter who excels in a high-paced startup environment and thrives on pitching revolutionary technology to many areas of an organisation, including C-level executives, security engineers, IT operations, DevOps, and Engineering professionals They should be willing to ?wear many hats? and step up and drive solutions to problems related to external and internal needs This individual will be instrumental in accelerating our sales, strategic initiatives, and growing SentinelOne What skills and knowledge should you bring 5+ years of experience as a Solutions (Sales) Engineer or Architect BS/BA degree or equivalent technical experience is desired, but love a well-rounded candidate with a broad range of interests and talents Strong background with big data platforms (Cassandra, Hadoop, etc-), data lakes (Snowflake, DataBricks), streaming analytics (Kafka), log management (ElasticSearch, SumoLogic, etc-), or SIEM (Splunk, Devo, Qradar, Exabeam, etc-) Some code writing proficiency is desired (C/C++, Shell, Perl, Python) Experience with RegEx and writing parsers Background in cloud providers (AWS, Azure, Google)and technologies such as Kubernetes Ability to demonstrate product value and use cases, both customer-specific and generic Demonstrable experience in objection handling and positioning against competitive or alternative technologies, including how to transition to new data pipelines Use concise written and oral communication skills to effectively lead business and technical presentations, demonstrations, and conversations with both executives and technical audiences Fluency in English is required Must have demonstrable experience successfully selling to mid-to-large customers and working across an organisation to get technical buy-in and acceptance Drive the Evaluation/POC through a defined process Provide timely consultation and build a strong relationship with the technical buyer or champion Provide 1st-level technical support throughout the sales process with involvement as it is transitioned to customer success Availability to travel to visit prospects and customers (usually no more than 20-25% and as required) What will you do The principal responsibilities for this position are to generate revenue from Strategic Accounts across the region through following up on multiple lead sources, developing new clients and selling directly to customers while leveraging our channel community In this position, you will: Run a sophisticated sales process from prospecting to closure Partner with our channel team to drive both net new and recurring revenue Partner with channel managers to build pipeline and grow the assigned territory Become an insider within the Cyber Security Industry and become an expert in SentinelOne products Stay well educated and informed about SentinelOne's competitive landscape and how to sell the value of our solutions and services when compared to the relevant competitors in the Next Generation Endpoint market space Consistently meet or exceed sales quotas Why us You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry Health Insurance Industry-leading gender-neutral parental leave Paid Company Holidays Paid Sick Time Employee stock purchase program Employee assistance program Gym membership reimbursement Wifi/Cell phone reimbursement Numerous company-sponsored events, including regular happy hours and team-building events SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics SentinelOne participates in the E-Verify Program for all U S based roles Show more Show less

Location: Remote Employment Type: Full-Time Experience: 3+ Years About Us We're a fast-growing company driven by data We're looking for a skilled and enthusiastic Junior Data Engineer to join our team and help us shape the future of our data infrastructure This is a fully remote role work from wherever you're most productive If you're passionate about data and eager to make a real impact, we want to hear from you About the Role As a Junior Data Engineer, you'll be a key player in our data engineering efforts You'll be working hands-on, collaborating with a talented team, and contributing directly to the development and maintenance of our data pipelines and infrastructure This role offers a unique opportunity to learn, grow, and make a tangible difference in how we leverage data What You'll Do: Design and build robust data pipelines using tools like Databricks, Spark, and PySpark Develop and maintain our data warehouse and data models, ensuring they meet the needs of our analytics and operations teams Dive into data transformation and processing with SQL and Python Partner with engineers, analysts, and stakeholders across the company to understand their data needs and deliver effective solutions Maintain clean and organized code using Git Contribute to our ongoing efforts to improve data quality and ensure data integrity What You'll Need: 3+ years of experience in data engineering A solid understanding of cloud platforms like AWS or Azure Strong skills in Python, SQL, Spark, and PySpark Practical experience with cloud-based ETL tools A genuine passion for problem-solving and a desire to learn and grow Excellent communication skills and a collaborative spirit Bonus Points: Experience with DevOps tools (Docker, Terraform, Airflow, GitHub Actions the more the merrier) Familiarity with CI/CD pipelines and infrastructure as code A knack for optimizing workflows and boosting performance What We Offer: 100% remote work work from anywhere! A supportive and collaborative team environment Opportunities for professional development and growth A competitive salary and benefits package Show more Show less

Overview We are seeking a highly motivated Data Analyst with strong technical and analytical skills to join our ADAS (Advanced Driver Assistance Systems) team. This role involves working with large-scale data from vehicle systems to drive insights, support data science initiatives, and contribute to the development of safer and smarter automotive technologies. Responsibilities: Perform data cleansing, aggregation, and analysis on large, complex datasets related to ADAS components and systems. Build, maintain, and update dashboards and data visualizations to communicate insights effectively (Power BI preferred). Develop and optimize data pipelines and ETL processes. Create and maintain technical documentation, including data catalogs and process documentation. Collaborate with cross-functional teams including data scientists, software engineers, and system engineers. Contribute actively to the internal data science community by sharing knowledge, tools, and best practices. Work independently on assigned projects, managing priorities and delivering results in a dynamic, unstructured environment. Required Qualifications: Bachelors degree or higher in Computer Science, Data Science, or a related field. Minimum 3 years of experience in the IT industry, with at least 2 years in data analytics or data engineering roles. Proficient in Python or Pyspark with solid software development fundamentals. Strong experience with SQL and relational databases. Hands-on experience with data science, data engineering, or machine learning techniques. Knowledge of data modeling, data warehousing concepts, and ETL processes. Familiarity with data visualization tools (Power BI preferred). Basic understanding of cloud platforms such as Azure or AWS. Fundamental knowledge of ADAS functionalities is a plus. Strong problem-solving skills, self-driven attitude, and the ability to manage projects independently. Preferred Skills: Experience in automotive data or working with sensor data (e.g., radar, lidar, cameras). Familiarity with agile development methodologies. Understanding of big data tools and platforms such as Databricks or Spark. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in shaping the direction of application projects and ensuring that they meet the needs of the organization and its clients. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with cloud computing platforms such as AWS or Azure.- Strong understanding of data engineering principles and practices.- Experience in application development using modern programming languages.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 6 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on Azure Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Exposure to streaming solutions and message brokers like Kafka technologies Experience Unix / Linux Commands and basic work experience in Shell Scripting Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies. Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers.

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 7+ Yrs total experience in Data Engineering projects & 4+ years of relevant experience on Azure technology services and Python Azure Azure data factory, ADLS- Azure data lake store, Azure data bricks, Mandatory Programming languages Py-Spark, PL/SQL, Spark SQL Database SQL DB Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc. Data Warehousing experience with strong domain Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred technical and professional experience Experience with AzureADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with object-oriented/object function scripting languagesPython, SQL, Scala, Spark-SQL etc.

Identifying business problems, understand the customer issue and fix the issue. Evaluating reoccurring issues and work on for permanent solution Focus on service improvement. Troubleshooting technical issues and design flaws Working both individually and on a team to deliver work on time Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience Azure IAAS, PASS & SAAS services expert and Handson experience on these and below all services. VM, Storage account, Load Balancer, Application Gateway, VNET, Route Table, Azure Bastion, Disaster Recovery, Backup, NSG, Azure update manager, Key Vault etc. Azure Web App, Function App, Logic App, AKS (Azure Kubernetes Service) & containerization, Docker, Event Hub, Redis Cache, Service Mess and ISTIO, App insight, Databricks, AD, DNS, Log Analytic Workspace, ARO (Azure Red Openshift) Orchestration & Containerization Docker, Kubernetes, RedHat OpenShift Security Management - Firewall Mgmt, FortiGate firewall Preferred technical and professional experience Monitoring through Cloud Native tools (CloudWatch, Cloud Trail, Azure Monitor, Activity Log, VRops and LogInsight) Server monitoring and Management (Windows, Linux, AIX AWS Linux, Ubuntu Linux) Storage Monitoring and Management (Blob, s3, EBS, Backups, recovery, Snapshots)

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers AWS S3 , Redshift , and EMR for data storage and distributed processing. AWS Lambda , AWS Step Functions , and AWS Glue to build serverless, event-driven data workflows and orchestrate ETL processes

Identifying business problems, understand the customer issue and fix the issue. Evaluating reoccurring issues and work on for permanent solution Focus on service improvement. Troubleshooting technical issues and design flaws Working both individually and on a team to deliver work on time Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 years of experience Azure IAAS, PASS & SAAS services expert and Handson experience on these and below all services. VM, Storage account, Load Balancer, Application Gateway, VNET, Route Table, Azure Bastion, Disaster Recovery, Backup, NSG, Azure update manager, Key Vault etc. Azure Web App, Function App, Logic App, AKS (Azure Kubernetes Service) & containerization, Docker, Event Hub, Redis Cache, Service Mess and ISTIO, App insight, Databricks, AD, DNS, Log Analytic Workspace, ARO (Azure Red Openshift) Orchestration & Containerization Docker, Kubernetes, RedHat OpenShift Security Management - Firewall Mgmt, FortiGate firewall Preferred technical and professional experience Monitoring through Cloud Native tools (CloudWatch, Cloud Trail, Azure Monitor, Activity Log, VRops and Log Insight) Server monitoring and Management (Windows, Linux, AIX AWS Linux, Ubuntu Linux) Storage Monitoring and Management (Blob, s3, EBS, Backups, recovery, Snapshots

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise We are seeking a skilled Azure Data Engineer with 5+ years of experience Including 3+ years of hands-on experience with ADF/Databricks The ideal candidate Data bricks,Data Lake, Phyton programming skills. The candidate will also have experience for deploying to data bricks. Familiarity with Azure Data Factory Preferred technical and professional experience Good communication skills. 3+ years of experience with ADF/DB/DataLake. Ability to communicate results to technical and non-technical audiences

Strong experience in Python Good experience in Databricks Experience working in AWS/Azure Cloud Platform. Experience working with REST APIs and services, messaging and event technologies. Experience with ETL or building Data Pipeline tools Experience with streaming platforms such as Kafka. Demonstrated experience working with large and complex data sets. Ability to document data pipeline architecture and design Experience in Airflow is nice to have To build complex Deltalake

Roles and Responsibilities: 4+ years of experience as a data developer using Python Knowledge in Spark, PySpark preferable but not mandatory Azure Cloud experience (preferred) Alternate Cloud experience is fine preferred experience in Azure platform including Azure data Lake, data Bricks, data Factory Working Knowledge on different file formats such as JSON, Parquet, CSV, etc. Familiarity with data encryption, data masking Database experience in SQL Server is preferable preferred experience in NoSQL databases like MongoDB Team player, reliable, self-motivated, and self-disciplined

Roles & Responsibilities: Resource must have 5+ years of hands on experience in Azure Cloud development (ADF + DataBricks) - mandatory Strong in Azure SQL and good to have knowledge on Synapse / Analytics Experience in working on Agile Project and familiar with Scrum/SAFe ceremonies. Good communication skills - Written & Verbal Can work directly with customer Ready to work in 2nd shift Good in communication and flexible Defines, designs, develops and test software components/applications using Microsoft Azure- Data-bricks, ADF, ADL, Hive, Python, Data bricks, SparkSql, PySpark. Expertise in Azure Data Bricks, ADF, ADL, Hive, Python, Spark, PySpark Strong T-SQL skills with experience in Azure SQL DW Experience handling Structured and unstructured datasets Experience in Data Modeling and Advanced SQL techniques Experience implementing Azure Data Factory Pipelines using latest technologies and techniques. Good exposure in Application Development. The candidate should work independently with minimal supervision

Role & responsibilities The Application Head is Responsible for overseeing the Deployment and Management of Enterprise Applications with a strong focus on S/4HANA and Retail Industry Solutions. Extensive Experience in both SAP and non SAP Enterprise Solution Deployments, Ensuring Seamless Integration and Operational Efficiency across the Organization. Oversee the Deployment, Management and Optimization of S/4HANA and other Enterprise Applications. Ensure Seamless Integration of SAP and non-SAP Solutions to support Business Processes. Qualifications Bachelors or Master’s degree in Computer Science, Information Technology or related field. 10+ Years of Experience in Application Management and Deployment Roles. Strong knowledge of S/4HANA, Retail Industry Solutions and non-SAP Enterprise Applications. Preferred Skill Experience in Retail (Brand Retailing is a plus). Familiarity with Tools like Power BI, Tableau, Databricks, Snowflake or similar. Understanding of Ethical AI and Responsible Data Use.

DataOps Specialist - Azure - 5+ Years - Gurugam Are you a data enthusiast with expertise in Azure and DataOps? Do you have experience working with data pipelines, data warehousing, and analytics? Our client, a leading organization in Gurugam, is looking for a DataOps Specialist with 5+ years of experience. If you are passionate about leveraging data to drive business insights and decisions, this role is for you! Location : Gurugam Your Future Employer : Our client is a prominent player in the industry and is committed to creating an inclusive and diverse work environment. They offer ample opportunities for professional growth and development, along with a supportive and collaborative culture. Responsibilities Design, build, and maintain data pipelines on Azure platform Work on data warehousing solutions and data modeling Collaborate with cross-functional teams to understand data requirements and provide solutions Implement and manage data governance and security practices Troubleshoot and optimize data processes for performance and reliability Stay updated with the latest trends and technologies in DataOps and analytics Requirements 5+ years of experience in data engineering, DataOps, or a related field Proven expertise in working with Azure data services such as Azure Data Factory, Azure Synapse Analytics, etc. Strong understanding of data warehousing concepts and data modeling techniques Proficiency in SQL, Python, or other scripting languages Experience with data governance, security, and compliance Excellent communication and collaboration skills What's in it for you : As a DataOps Specialist, you will have the opportunity to work on cutting-edge data technologies and make a significant impact on the organization's data initiatives. You will be part of a supportive team that values innovation and encourages continuous learning and development. Reach us : If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at rohit.kumar@crescendogroup.in Disclaimer : Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status. Note : We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated. Scammers can misuse Crescendo Globals name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert! Profile keywords : DataOps, Azure, Data Engineering, Data Warehousing, Analytics, SQL, Python, Data Governance

Create and execute a strategic sales plan that expands customer base and extends global reach. Establish relationships with new and existing customers and secure new business in the assigned portfolio element(s) Drive the entire Sales Cycle from initial Customer Engagement till Contract Closing for new customers. For existing customers, Sales Cycle is started by Account Manager Work with Account Managers to ensure that the overall account strategy and goals will be followed and achieved. Maintain a very detailed level of relevant knowledge on the assigned portfolio element(s) in order to have meaningful and relevant conversations with customers and prospects. Work with Pre-Sales Consultant / Technical Architects / Practice Leaders to ensure that we design the right solutions for our customers. Owns the proposal and Statement of Work (SoW) overall and engages pre-sales consultant for more complex content related to the specific practice. Provide feedback to Account Management on ways to decrease the Sales Cycle, enhance Sales, and improve company brand and reputation. Responsible for PL for Big Data Engagements Handling MME and SMB's for Net New Business Cross Sell and Upsell in the existing accounts. Managing Alliance with AWS and Databricks for Data Analytics offerings Creating business development plans and forecasting sales targets and growth projections Meeting existing and potential clients and building positive relationships Understand Sales targets and take initiative to achieve the same. Customer Acquisition Life Cycle Management. Track, analyze, and communicate key quantitative metrics and business trends as they relate to partners and clients. Preparing financial projections and sales targets. Required skills and qualifications: 9+ years of proven sales experience, including 3+ years of experience in solutions selling for Data Analytics BI Tools. Highly motivated and results oriented evidence of consistently exceeding acquisition specific performance metrics. Good knowledge of ETL tools and enterprise data warehouse / data lake solutions. Computer Engineer with MBA Ability and maturity to sell and build relationships and expand on new relationships. Consistently achieved sales goals through your leadership and personal goals. Able to learn new technology quickly, as well as adapt to changing needs. Deep understanding of enterprise sales methodology. Proven record of success with the entire sales cycle, from planning to closing Excellent communication, interpersonal, and organizational skills. Superb leadership ability. Open to travel.

Job Role & responsibilities: - Understanding operational needs by collaborating with specialized teams Supporting key business operations. This involves architecture designing, building and deploying data systems, pipelines etc Designing and implementing agile, scalable, and cost efficiency solution on cloud data services. Lead a team of developers, implement Sprint planning and executions to ensure timely deliveries Technical Skill, Qualification & experience required:- 9-11 years of experience in Cloud Data Engineering. Experience in Azure Cloud Data Engineering, Azure Databricks, datafactory , Pyspark, SQL,Python Hands on experience in Data Engineer, Azure Databricks, Data factory, Pyspark, SQL Proficient in Cloud Services Azure Architect and implement ETL and data movement solutions. Bachelors/Master's Degree in Computer Science or related field Design and implement data solutions using medallion architecture, ensuring effective organization and flow of data through bronze, silver, and gold layers. Optimize data storage and processing strategies to enhance performance and data accessibility across various stages of the medallion architecture. Collaborate with data engineers and analysts to define data access patterns and establish efficient data pipelines. Develop and oversee data flow strategies to ensure seamless data movement and transformation across different environments and stages of the data lifecycle. Migrate data from traditional database systems to Cloud environment Strong hands-on experience for working with Streaming dataset Building Complex Notebook in Databricks to achieve business Transformations. Hands-on Expertise in Data Refinement using Pyspark and Spark SQL Familiarity with building dataset using Scala. Familiarity with tools such as Jira and GitHub Experience leading agile scrum, sprint planning and review sessions Good communication and interpersonal skills * Immediate Joiners will be preferred only

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4. Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: DataBricks - Data Engineering.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4. Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: DataBricks - Data Engineering.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4. Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: DataBricks - Data Engineering.

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4. Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: DataBricks - Data Engineering.